SOTAVerified

Temporal Action Localization

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

Papers

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Showing 901–950 of 1477 papers

TitleStatusHype
StNet: Local and Global Spatial-Temporal Modeling for Action RecognitionCode0
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition—0
DeepGRU: Deep Gesture Recognition UtilityCode0
Informed Democracy: Voting-based Novelty Detection for Action Recognition—0
Random Temporal Skipping for Multirate Video Analysis—0
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition—0
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization—0
Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks—0
A^2-Nets: Double Attention Networks—0
Cross-Modal and Hierarchical Modeling of Video and TextCode0
CSI-Net: Unified Human Body Characterization and Pose RecognitionCode0
Representation Flow for Action RecognitionCode0
Interpretable Spatio-temporal Attention for Video Action Recognition—0
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural NetworksCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Temporal-Spatial Mapping for Action Recognition—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
Using phase instead of optical flow for action recognitionCode0
Unsupervised Learning of View-invariant Action RepresentationsCode0
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition—0
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams—0
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset—0
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization—0
Deep Bilinear Learning for RGB-D Action Recognition—0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
RESOUND: Towards Action Recognition without Representation Bias—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Dividing and Aggregating Network for Multi-view Action Recognition—0
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos—0
Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset—0
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video—0
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos—0
Targeted Nonlinear Adversarial Perturbations in Images and VideosCode0
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition—0
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos—0
RGB Video Based Tennis Action Recognition Using a Deep Historical Long Short-Term Memory—0
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors—0
Analyzing Human-Human Interactions: A SurveyCode0
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI—0
Actor-Centric Relation Network—0
Diagnosing Error in Temporal Action DetectorsCode0
Motion Feature Network: Fixed Motion Filter for Action Recognition—0
AutoLoc: Weakly-supervised Temporal Action LocalizationCode0
Deep Discriminative Model for Video Classification—0
Correlation Net: Spatiotemporal multimodal deep learning for action recognition—0
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks—0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences—0
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention—0
Adding Attentiveness to the Neurons in Recurrent Neural Networks—0
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All datasetsTHUMOS14ActivityNet-1.3HACSFineActionMultiTHUMOSCrossTaskEPIC-KITCHENS-100MUSESActivityNet-1.2Ego4D MQ testEgo4D MQ valMEXaction2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9—Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2—Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72—Unverified
4GCMmAP IOU@0.172.5—Unverified
5AGT (Ours)mAP IOU@0.172.1—Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72—Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58—Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1—Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8—Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6—Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3—Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9—Unverified
3ActionMamba (InternVideo2-6B)mAP42.02—Unverified
4PRN+BMN (ensemble)mAP42—Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93—Unverified
6InternVideo2-6BmAP41.2—Unverified
7InternVideo2-1BmAP40.4—Unverified
8UniMD+Sync.mAP39.83—Unverified
9PRN (CSN)mAP39.4—Unverified
10InternVideomAP39—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8—Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56—Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3—Unverified
4InternVideo2-6BAverage-mAP43.3—Unverified
5TriDet (VideoMAEv2)Average-mAP43.1—Unverified
6InternVideo2-1BAverage-mAP42.4—Unverified
7InternVideoAverage-mAP41.55—Unverified
8TriDet (SlowFast)Average-mAP38.6—Unverified
9TriDet (I3D RGB)Average-mAP36.8—Unverified
10TadTr (I3D RGB)Average-mAP32.09—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6—Unverified
2ActionMamba(InternVideo2-6B)mAP29.04—Unverified
3InternVideo2-6BmAP27.7—Unverified
4DyFADet (VideoMAE v2-g)mAP23.8—Unverified
5VideoMAE V2-gmAP18.24—Unverified
6InternVideomAP17.57—Unverified
7BMN (i3d feaure)mAP9.25—Unverified
8G-TAD (i3d feature)mAP9.06—Unverified
9DBG (i3d feature)mAP6.75—Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5—Unverified
2DualDETR (I3D-rgb)Average mAP32.64—Unverified
3TriDet (I3D-rgb)Average mAP30.7—Unverified
4TemporalMaxerAverage mAP29.9—Unverified
5PointTADAverage mAP23.5—Unverified
6PDANAverage mAP17.3—Unverified
7MS-TCTAverage mAP16.2—Unverified
8MLADAverage mAP14.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3—Unverified
2VLMRecall46.5—Unverified
3TACoRecall42.5—Unverified
4Text-Video EmbeddingRecall33.6—Unverified
5Fully-supervised upper-boundRecall31.6—Unverified
6ZhukovRecall22.4—Unverified
7AlayracRecall13.3—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3—Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4—Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5—Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5—Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4—Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4—Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2—Unverified
2MUSESmAP18.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4—Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4—Unverified